A few weeks ago I had a conversation withDavid McRaney of the You Are Not So Smart podcast, for his episode on Machine Bias. As he says on the blog:

Now that algorithms are everywhere, helping us to both run and make sense of the world, a strange question has emerged among artificial intelligence researchers: When is it ok to predict the future based on the past? When is it ok to be biased?

“I want a machine-learning algorithm to learn what tumors looked like in the past, and I want it to become biased toward selecting those kind of tumors in the future,” explains philosopher Shannon Vallor at Santa Clara University. “But I don’t want a machine-learning algorithm to learn what successful engineers and doctors looked like in the past and then become biased toward selecting those kinds of people when sorting and ranking resumes.”

We talk about this, sentencing algorithms, the notion of how to raise and teach our digital offspring, and more. You can listen to all it here:

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About

Hello there, I’m Damien Williams, or @Wolven many places on the internet. For the past nine years, I’ve been writing, talking, thinking, teaching, and learning about philosophy, comparative religion, magic, artificial intelligence, human physical and mental augmentation, pop culture, and how they all relate. I want to think about, talk about, and work toward, a future worth living in, and I want to do it with you. I can also be found at http://Technoccult.net (@Techn0ccult).